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We propose a no-reference compressed video quality model to predict the full-reference SSIM metrics for AVC (Advanced Video Coding, H.264) and HEVC (High Efficiency Video Coding) videos. The model we use is support vector regression (SVR) model. We use only encoding decisions made during motion estimation to perform the prediction, and do not need the information from pixel domain. We show that the...
The video quality after source compression loss and communication channel loss is very important for user experience in consumer electronic. In this paper, we propose a rate-distortion optimization method considering not only source loss, but also channel loss. We modify the source Lagrangian function in the H.264 to further consider channel loss effects, measured by a packet loss visibility model...
HEVC (High Efficiency Video Coding) standard is ready to be launched for consumer electronics. With better coding efficiency, the coding complexity is high. We propose a fast CU (Coding Unit) depth decision algorithm based on SKIP mode information in the neighboring block to early terminate the CU splitting. Compared to the HEVC standard software, the proposed method can save by up to 41% of the time...
In this paper, we propose an error concealment algorithm that considers the partition decision information from previous frame, to improve a widely used algorithm that extrapolates the motion vectors from previous frame. The result shows that objectively and subjectively, the proposed method can perform better. Also, the improvement of our method is larger in HEVC video than in AVC video, due to larger...
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